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timfromhcs/Gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF

timfromhcs Gemma GGUF
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/timfromhcs%2FGemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF"
Response includes
  • classification m-uncensored
  • files 6
  • author_summary 4 models
  • readme_text full
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Model age
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created 2026-10-07

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Metadata

License
apache-2.0
Quantizations
BF16 Q4_K
Tags
transformers gguf abliterated uncensored any-to-any base_model:google/gemma-4-E4B-it-qat-q4_0-unquantized base_model:quantized:google/gemma-4-E4B-it-qat-q4_0-unquantized license:apache-2.0 endpoints_compatible region:us conversational

Related

Total size
19.0 GB
Files
6
Quantizations
3
Registered
2026-10-07 08:58
Last updated on HF
2026-10-07 08:46

Files by quantization

BF16 3 files 15.0 GB
Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-bf16.gguf 13.9 GB 95cfed74 download
mtp-ggml-model-bf16.gguf 164 MB f7844910 download
mmproj-model-bf16.gguf 946 MB ed22c2c5 download
Q4_K 1 file 4.94 GB
Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-Q4_K.gguf 4.94 GB 64434f2d download
Auxiliary files 2 files 5.17 KB
README.md 3.37 KB fe63e9dd download
.gitattributes 1.80 KB f72f860a download

README current version from Hugging Face



library_name: transformers
license: apache-2.0
license_link: https://ai.google.dev/gemma/docs/gemma_4_license
pipeline_tag: any-to-any
base_model:

  • google/gemma-4-E4B-it-qat-q4_0-unquantized
    tags:
  • abliterated
  • uncensored

huihui-ai/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF

This is an uncensored version of google/gemma-4-E4B-it-qat-q4_0-unquantized created with abliteration (see remove-refusals-with-transformers to know more about it).
This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.

ollama

Please use the latest version of ollama

You can use huihui_ai/gemma-4-abliterated:E4B-qat directly,

ollama run huihui_ai/gemma-4-abliterated:E4B-qat

GGUF

Please use the latest version of ggml-org/llama.cpp

apt-get update
apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
git clone https://github.com/ggml-org/llama.cpp
cmake llama.cpp -B llama.cpp/build \
    -DBUILD_SHARED_LIBS=OFF -DGGML_CUDA=ON
cmake --build llama.cpp/build --config Release -j --clean-first --target llama-cli llama-mtmd-cli llama-server llama-gguf-split
cp llama.cpp/build/bin/llama-* llama.cpp
./llama.cpp/llama-cli \
    -m huihui-ai/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-Q4_K.gguf \
    -ngl 99 -c 262144 \
    --spec-type draft-mtp \
    --spec-draft-n-max 4 \
    --spec-draft-model huihui-ai/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF/mtp-ggml-model-bf16.gguf

Usage Warnings

  • Risk of Sensitive or Controversial Outputs: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.

  • Not Suitable for All Audiences: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.

  • Legal and Ethical Responsibilities: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.

  • Research and Experimental Use: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.

  • Monitoring and Review Recommendations: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.

  • No Default Safety Guarantees: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.

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